Evidence map›Paper›PMID 40704300›Full record

ArticleChina economic review2025

Blowin' in the Wind: Smog and Suicidal Ideation among School-Age Children.

Xin Zhang, Xi Chen, Hong Sun, Yuanjian Yang

Abstract read
In one paragraph

Article in China economic review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xin ZhangSchool of Statistics, Beijing Normal University, Beijing 100875, China.
Xi ChenDepartment of Health Policy and Management, Yale School of Public Health Department of Economics, Yale University New Haven, CT 06520, USA.
Hong SunJiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Yuanjian YangNanjing University of Information Science and Technology, Nanjing 210044, China.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER, CHRISTOPHER H VAN DYCK · 2020 to 2026
$30.2M
A Life Course Approach to Understanding Racial and Ethnic Disparities in Alzheimer's Disease and Related Dementias and Health CareR01AG077529 · NIA · YALE UNIVERSITY · PI Xi Chen · 2022 to 2026
$3.6M
NIA NIH HHS P30 AG021342NIA NIH HHS P30 AG066508NIA NIH HHS R01 AG077529
6 · The paper itself

Abstract

This paper attempts to provide one of the first population-based causal estimates of the effect of air pollution on suicidal ideation-a key precursor to suicide attempt and completion-among school-age children. We use daily variations in the local wind direction as instruments to address endogeneity in pollution exposure. Matching a unique risk behavior survey of 55,000 students from 273 schools with comprehensive data on air pollutants and weather conditions according to the exact date and location of schooling, our findings indicate that a 1% decline in daily PM2.5 is associated with a 0.36% reduction in the probability of suicidal ideation. Moreover, the dose-response relationship reveals that the marginal effects increase significantly and non-linearly with elevated concentration of PM2.5. The effect is particularly pronounced among younger, male, students from low-educated families, and students with lower grades.

Indexed as

air pollutionChinaI31Q51Q53risky behaviorsschool-age childrensuicidal ideation

Identifiers

PMID40704300
PMCPMC12281585

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.